What if usage-based software revenue suddenly hits an air pocket?
A consumption-pricing miss punctures the usage-billing growth narrative as customers optimize spend — it hits Snowflake/Datadog-type names whose revenue floats with usage, a milder cousin of the SaaS freeze. The direct analogue is Snowflake's 2022–23 consumption-optimization air-pocket that gapped the stock on decel fears. Skeptical: usage models cut both ways — the same elasticity that hurts on the way down re-accelerates fast when workloads (AI inference) return; this is timing, not impairment.
Every number ships with its receipt — the odds, the range, the precedents, and a public grade at Reality Check. The statistical machinery that produces it is proprietary.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (electric blue) over time vs the market's (Polymarket, amber), from the past toward the 6–18 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. Loading the probability audit trail…
What it would mean
If this plays out, it is a risk-off shock. Consumption-model vendors miss badly as customers optimize spend, puncturing the usage-billing growth narrative. The trigger decomposes into signed root‑shocks — Growth surprise ▼ · Risk appetite ▼ — which propagate through our causal graph to the markets below.